Method for fire detection under decreased illumination based on visual data

Фаворская, М. Н.; Пятаева, А. В.; Пятаев, А. С.

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URI (for links/citations):

http://ceur-ws.org/Vol-2033/
https://elib.sfu-kras.ru/handle/2311/111623

Author:

Фаворская, М. Н.

Пятаева, А. В.

Пятаев, А. С.

Corporate Contributor:

Институт космических и информационных технологий

Кафедра систем искусственного интеллекта

Date:

2017-12

Journal Name:

CEUR Workshop Proceedings

Journal Quartile in Scopus:

без квартиля

Bibliographic Citation:

Фаворская, М. Н. Method for fire detection under decreased illumination based on visual data [Текст] / М. Н. Фаворская, А. В. Пятаева, А. С. Пятаев // CEUR Workshop Proceedings. — 2017. — Vol. 2033. — С. 300-304

Abstract:

In current report, method for fire detection under the ordinary and decreased illumination based on visual data in outdoor spaces is proposed. This method uses the features of fire and smoke, such as the moving parameters, chromatic components, and textural features. The algorithm Retinex is yielded for the illumination equalization. The recognition and verification stages as the main factor of the wildfire beginning are discussed.

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